SVALSA (Slope Vulnerability and LandSlide Assessment).
Why in news :
- Machine learning to predict landslips in Western Ghats
About SVALSA
- Developed by: Researchers at NITK Surathkal have created an integrated early warning framework called SVALSA (Slope Vulnerability and LandSlide Assessment).
- Aim : to provide reliable landslide warnings while significantly reducing false alarms, addressing incidents primarily triggered by intense and prolonged rainfall.
- Target Region: The system is designed specifically for the Western Ghats, a region that accounts for nearly 60% of reported landslides in India.
- Mechanism: The system operates through a three-stage warning mechanism implemented as a Python-based algorithm on a compact processing unit.
- Technology & Inputs: It combines rainfall analysis, real-time monitoring of soil behaviour, and surface movement.
- Data Analysis: In the first stage, the system analyzes rainfall data and past landslide records using a machine-learning method called K-Nearest Neighbour (KNN).
Leave a Reply